… of the neuroscience examples. To foster continued use of information theory in neuroscience,
we also include a MATLAB software package (the Neuroscience Information Theory …

… In conclusion, Information Theory is thriving in the neuroscience community, and the long
efforts are bearing fruit, as diverse research questions are being approached with more …

… Here we review information-theory basics before demonstrating its use in neural coding.
We show how to use information theory to validate simple stimulus–response models of neural …

… Information theory considers all the information in the neural response, but it is more difficult
… by decoding and information theory has not been exploited enough in neuroscience. A joint …

… in this book reflect the harsh realities implied by the application of information theory to
neuronal computation, and the predictions of … Accordingly, this book is intended as a …

… This decomposition of the total (Shannon) information then provides a link to information
theory as originally introduced by Claude Shannon for communication processes only. In recent …

… Information: Entropy, Surprise, and Entropy Rate Before I discuss the role of information theory
… In Shannon's information theory (Shannon and Weaver, 1949), information is defined as …

… Abstract This article introduces several fundamental concepts in information theory from the
… in neuroscience for two reasons. Simply applying formulae from information theory without …

… synergies between theory and simulation. Even though it forms an important subfield of
computational neuroscience, the analysis of neuronal data (22–24) is not included in this review. …

… This chapter includes a brief discussion of how information is presented in neural activity,
often referred to as neural codes. This is an area where information theory has contributed …